Work agents, conversational dashboards and new model choices are reshaping analyst workflows. Explore the latest updates and validate a monthly-sales example in Excel.

Learn how Power BI’s September 2026 full-text search preview works. Configure a persisted column index, find matching feedback with TEXTCONTAINS, rank it with TEXTSIMILARITY, and avoid common setup and scoring mistakes.

Learn how to try Power BI Desktop’s new Power Query Editor preview, explore Schema view, Diagram view, query folding and new transformations, and check known limitations before switching.

Power BI ModelSweep is an editable PBIP-based toolkit for model health, field usage, dependencies, best-practice checks and reviewable cleanup outputs.

Learn how to build a manually triggered Power Automate cloud flow that discovers active Power BI workspaces, submits a refresh for every Dataflow Gen1, supports pagination, and records failures without stopping the complete run.

Excelized helps turn messy data into clear dashboards and better decisions with Excel, Power BI, Power Query, Power Automate, practical training, templates, and free tools.

Learn when to use Power BI DirectQuery, how to improve report performance, and which modeling, DAX, source-design, and visual mistakes to avoid.

Dirty data does not announce itself. It arrives quietly as blank cells, "N/A" placeholders, stray zeros, or entirely empty columns that looked fine in the source system. Left untreated, these inconsistencies silently corrupt your totals, break your relationships, and cause scheduled refreshes to fail at the worst possible moment. This guide shows you how to stop patching issues one column at a time and build a small library of reusable M functions that handle every table inco

Learn how Power BI's parallel loading, memory limits, and General Options affect your dataset refresh speed. Compare Pro vs Premium settings with practical tips.

Learn how to use native queries in Power BI to write SQL directly against your data source. Step-by-step guide with M code, tips, and a practice file included.

A practical guide to securely sharing Power BI apps and reports with external users using Entra B2B, licensing checks, RLS, and core governance best practices.

A practical step-by-step guide to building a clean Power BI date table, writing better time-intelligence measures, and avoiding the most common calendar mistakes.

Go beyond sales reports — connect Power BI to your IT, HR, finance, and admin systems using custom connectors. A practical guide to unlocking organisation-wide analytics.

Add micro visuals like KPI bars, icons, and sparklines directly inside Power BI tables and matrices using SVG measures — no custom visuals needed. Includes production-ready DAX patterns.

Drillthrough is one of the most underrated Power BI features. This guide covers smart page design, DAX context tricks, tooltip integration, and real-world patterns that even experienced users often miss.

SharePoint can be either your best “single source of truth”… or the reason your refreshes fail on Monday morning. This guide shows how to structure SharePoint properly (sites, libraries, lists), set permissions that scale, and connect everything cleanly to Excel and Power BI—with practical “do this / don’t do that” patterns. PRACTICE MATERIAL BELOW!👇 1) SharePoint basics that matter for BI people Sites, Libraries, Lists (the “3 boxes” model) Site = the container (security b

If you’ve ever wanted cleaner dashboards, faster “at-a-glance” reading, and less “wall of numbers” fatigue—Unicode symbols + hex colors are a surprisingly powerful combo. In this post you’ll learn practical, copy-paste-ready tricks for Excel, Power BI (DAX + conditional formatting), and Power Query. PRACTICE MATERIAL BELOW!👇 Why this matters (real-life use cases) Status columns that actually read well: ✅ OK, ⚠ Warning, ❌ Issue, ⏳ Pending KPI trend indicators: ▲ / ▼ / • witho

PRACTICE MATERIAL BELOW!👇 Introduction Ever wondered what happens behind the scenes when you drag a visual into Power BI? That’s DAX queries at work. While most users write DAX formulas to calculate measures or columns, DAX queries go one level deeper — they let you directly query your model, test logic, and debug calculations.In this post, we’ll break down what DAX queries are, how they work, their structure, examples, pitfalls, and best practices — plus a few pro tricks to

Jtzt Abonnie Overview When you connect Power Query / Power BI to a SharePoint site (or document library), there are (at least) two common M-functions you may see or use: SharePoint.Files(siteUrl as text, optional options as record) as table SharePoint.Contents(siteUrl as text, optional options as record) as table Although they sound similar, their behavior, performance, metadata returned, and navigation experience differ. Understanding their differences helps in building more

Hook: If your model “mysteriously” changes numbers, breaks relationships, or sorts months alphabetically—blame data types. What we’ll cover: where to define types (and why), the safest order of operations across the ETL chain, Power Query vs. Model vs. Table View, special cases (DirectQuery, currency, duration), and concrete, copy-paste examples. 1) Why data types matter (and where they live) Power Query (PQ): Data shaping stage. Types here affect folding, transformations